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Numerical solution of Williamson hybrid ferrofluid over a stretching sheet / Puteri Ereena Shafira Mustafa
Published 2023“…Partial differential equations (PDEs) are transformed into ordinary differential equations (ODEs) by using similarity transform variable. …”
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Standard equations for predicting the discharge coefficient of a modified high-performance side weir
Published 2017“…The Particle Swarm Optimization (PSO) algorithm was used to optimize the parameters of the equations. …”
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Numerical Investigations of Nano-fluid Flow in Square Porous Cavity: Buongiorno�s Mathematical Model
Published 2021“…The governing system of partial differential equations was discretized using the finite volume method (FVM), the continuity and momentum equations were discretized using the SIMPLE algorithm, and the generated algebraic equations are solved iteratively. …”
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Conference or Workshop Item -
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Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)
Published 2015“…Global optimisation is a method to identify the optimal kinetic parameter in ordinary differential equation. From the ordinary parameter of biomathematical field, there are many unknown parameters, and commonly, the parameter is in nonlinear form. …”
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Application Of Genetic Algorithms For Robust Parameter Optimization
Published 2010“…In this paper, a genetic algorithm is used to study a seven factor non-linear equation for a Wheatstone bridge as the equation to be optimized. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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A Preliminary Study on Camera Auto Calibration Problem Using Bat Algorithm
Published 2013“…The cost function used in this paper is based on the Kruppa’s equation. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Thesis -
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Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations
Published 2011“…These algorithms are based on using the analytical closed-form solution of the Tschauner-Hempel equations that is completely explicit in time. …”
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Proceeding Paper -
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Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations
Published 2014“…These algorithms are based on using the analytical closed-form solution of the Tschauner-Hempel equations that is completely explicit in time. …”
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Rock brittleness prediction through two optimization algorithms namely particle swarm optimization and imperialism competitive algorithm
Published 2018“…In the modeling of the predictive models, 79 datasets are used, so that Schmidt hammer rebound number, wave velocity, density, and Point Load Index (Is50) are selected as the independent (input) parameters and the BI values are considered as the dependent (output) parameter. …”
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Optimization of physical vapour deposition coating process parameters using genetic algorithm
Published 2014“…Then, in order to optimize the coating process parameters, genetic algorithms (GAs) were used for the optimization work. …”
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Kinetic Parameter Estimation in Alkylation of Benzene with 1-Decene through Hybrid Particle Swarm Optimization
Published 2012“…Parameter estimation was performed by varying the initial guess of PSO algorithm which will conduct global search of the parameters. …”
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Final Year Project -
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Peak pressure analysis of foot plantar distribution based on image processing algorithm
Published 2018“…The present meta-analysis of the 79 subjects showed significant outcomes through the model equations that evaluated by R² values, where 0.866 for human body weight equation, 0.602 for the age equation, and 0.308 for the foot size equation, all of them are formulated as a function of plantar pressure values. …”
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Thesis -
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Identifying and estimating solar cell parameters using an enhanced slime mould algorithm
Published 2024“…This study proposed an enhanced slime mould algorithm (ESMA) for identifying the solar cells’ parameters for five photovoltaic (PV) models, making two modifications to the original slime mould algorithm (SMA). …”
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